Stock Forecast Based On a Predictive Algorithm (2024)

Short Selling

What is “short selling” and how does it work?

The concept of short selling is often seen as something immoral or alarming to many traders. Traders often assume that because mutual funds and financial planners go long, it is more correct to do. When you short sell you are actually borrowing a stock at a fee, and selling it on the market. At some point the trader “covers” his sale by repurchasing the stock at the current market price, and returning the shares to the lender. If the price is lower the short seller makes a profit, else he makes a loss.

Why are people scared to short sell?

I believe this phenomenon arises for the bombardment of interested parties in keeping traders constantly bullish. The people who are long and pay for the advertising on financial websites have a good reason to do so. Company management is naturally biased as they generally own stocks; it is their end goal to increase value for shareholders. The financial press is mostly financed by advertising through mutual funds, financial managers and brokers. All three have one thing in common, the more bullish the market is, the more capital is invested in their respective institutions which means they make more money. If markets are bad, less people trade and all big institutions lose out when the market has a negative cash-flow.

Governments which should be unbiased of course are. For one, they are interested in a bullish market, the most powerful lobbyists and firms are financing them are breathing down their necks. They have every reason to be heavily biased towards a bullish market. Likewise, rating firms are paid by the companies and bankers which they rate – which makes them far more inclined to raise their rating rather than lower it. These companies need to have their bonds rated, and they will naturally lean towards the friendliest rating agency.

So why are people scared to short? Because this goes against what the big players want you to do. By going short you take advantage of all the over pumped bullish news. Sell side analysts will often associate false information and market manipulation with short sellers, but this sword swings both directions. The fact is there is no good or bad, only those who make money and those who lose money.

Ironically, short sellers who make money actually benefit the market and those who lose make it worse. By short selling towards peaks, short sellers pressure prices down thus preventing the share from being significantly overvalued. When the price reverses and reaches the trough (bottom), short sellers will cover their position by buying the shares and preventing the security from being significantly undervalued. By lowering the volatility even the long term value traders benefit from the short seller.

So who are biggest losers? It is the short-term swing traders who go long only and are simply missing a huge asset in their toolbox.

How to get started on short selling?

Open a paper trading account with a broker such as think or swim to get a feel beforehand. Due to T-regulation you will need a margin account to short sell, with at least 150% of your trade value in equity to cover liability. Theoretically you can lose more than you invested, because the potential upside movement of the stock could be more than 100%.

Next you will realize that some stocks are not available to short sell, familiarize yourself with those who are. From here you must decide what you want to trade, which is easy with a tool such as I Know First (elaborated below). Once you are set up you should now have the option to sell the stock, even if you do not currently own it. Pick a stock and set a limit order at the highest possible bid (remember you are the seller!), and try to cover (buy back) at the lowest price point. Furthermore, to manage risk you can set a stop loss at above the current price level.

Stock Forecast Based On a Predictive Algorithm (2)Algorithmic Strategy: How to decide which stocks to short?

I Know First’s interface macro is a great new tool for deciding on your trade positions. The algorithm successfully predicts stock trends over time, and on July 9th this was the prediction of our Top Stocks universe. Now those who invested and held mostly did pretty well for themselves; however, their prediction was sharply contradicting the current market trend.

All the annual subscribers who use the interface macro would quickly see that almost no long predictions were currently trending up. In contrast, almost all short-sell recommendations were plummeting in price.

This made it interesting to go short; unfortunately most brokers do not support short sales on low liquidity stocks. Ideally GSH would have been the best option; however as it was unavailable to immediately short sell some compromises had to be made. In the end the strongest negative signals available were:

WFT (-100.93) – Weatherford International plc – NYSE

ALU (-81.04) – Alcatel-Lucent

AA (-75.36) – Alcoa Inc

Stock Forecast Based On a Predictive Algorithm (3)

One should set limit orders which are above the average size. With such volatile markets it makes a lot of sense to take maximum advantage. It is better to never have your order filled than to lose on the spread.

Now that I had all my orders filled at a price I was happy with I decided to stick with the algorithmic prediction and hold. While prices dropped nicely for AA and WTF by -8.74% and -12.33% respectively, ALU increased by 3.75% in the three week horizon. The decision to sell is clear by the 28th of July, as all the 3 day forecasts for these stocks become bullish again – indicating they have dropped below their equilibrium price level.

Stock Forecast Based On a Predictive Algorithm (4)

The forecast did materialize nicely; however, it took patience and confidence. The drop in price was not clean or straight, with slight losses and high volatility throughout. What is even more astonishing is that the S&P500 actually rose 3% during that period, while our short sales returned a decent profit!

Below is the final standing before liquidation and closing orders.
Stock Forecast Based On a Predictive Algorithm (5) Stock Forecast Based On a Predictive Algorithm (6)

Stock Forecast Based On a Predictive Algorithm (2024)

FAQs

Which algorithm is best for stock prediction? ›

Predicting stock price with Moving Average (MA) technique

Commonly used periods are 20-day, 50-day, and 200-day MA for short-term, medium-term, and long-term investment respectively. Two types of MA are most preferred by financial analysts: Simple MA and Exponential MA.

What is the most accurate stock prediction model? ›

1. AltIndex – Overall Most Accurate Stock Predictor with Claimed 72% Win Rate. From our research, AltIndex is the most accurate stock predictor to consider today. Unlike other predictor services, AltIndex doesn't rely on manual research or analysis.

Do stock prediction models work? ›

Utilizing a Keras LSTM model to forecast stock trends

At the same time, these models don't need to reach high levels of accuracy because even 60% accuracy can deliver solid returns. One method for predicting stock prices is using a long short-term memory neural network (LSTM) for times series forecasting.

How accurate is AI stock prediction? ›

The machine learning models can predict stock returns with remarkable accuracy, achieving an average monthly return of up to 2.71% compared to about 1% for traditional methods," adds Professor Azevedo. The study's findings highlight the potential of such technology for the financial market.

Can I use AI to predict stock market? ›

AI-powered systems can analyze news articles, companies' financial reports, and social media conversations in real-time. This sentiment analysis helps investors and financial institutions to gauge market sentiment and make accurate predictions based on this sentiment analysis.

Can GPT 4 predict stock market? ›

Integration with GPT-4 API

This integration facilitates the model to analyze and predict stock prices and communicate these insights effectively to the users. The GPT-4 API, with its advanced natural language processing capabilities, can interpret complex financial data and present it in a user-friendly way.

What is the best AI stock prediction website? ›

Candlestick.ai is one of the best AI stock picker services for beginners. Its proprietary software generates stock predictions through artificial intelligence insights. You won't need any prior investment or analysis experience, as Candlestick.ai tells you which stocks to buy.

How accurate is algorithmic trading? ›

Low Latency: Trade order placement is instant and accurate (there is a high chance of execution at the desired levels). Trades are timed correctly and instantly to avoid significant price changes. Reduced transaction costs. Simultaneous automated checks on multiple market conditions.

Why is stock prediction difficult? ›

Complexity — The stock market is an extremely complex system with countless variables that interact and influence prices. These include macroeconomic factors such as economic growth, interest rates, political events, natural disasters, consumer sentiment, corporate earnings, etc.

How hard is it to predict stocks? ›

There is no correct way on how to predict if a stock will go up or down with 100% accuracy. Most expert analysts on many occasions fail to predict the stock prices or the prediction of movement of stock with even 60% to 80% accuracy.

Why can't AI predict stocks? ›

If the data is incomplete, biased, or outdated, the AI algorithm may not be able to accurately predict future market behavior. For example, if an AI algorithm is trained on historical data from a period of economic stability, it may struggle to predict market reactions during times of crisis or volatility.

Can AI really predict the future? ›

AI can predict the future, but not in a deterministic or infallible way. AI prediction is based on probabilities and uncertainties, and it depends on the quality and quantity of the data and the algorithms.

What is the AI algorithm for stock trading? ›

AI trading, also known as algorithmic trading, is a method of executing trades in financial markets using computer algorithms. These algorithms analyze vast amounts of data, such as historical price movements, market trends, and economic indicators, to identify patterns and make trading decisions.

Is the stock market actually predictable? ›

For the most part, the authors report that stock returns are unpredictable. However, there do exist points of pockets in time when returns can be predicted.

What are the disadvantages of stock prediction? ›

The volatile nature of stock values makes it difficult to predict accurately . Historical data and technical indicators, which are commonly used in these methods, may not capture all relevant factors . Additionally, the complexity of stock market data poses challenges in creating accurate prediction models .

How accurate is LSTM for stock prediction? ›

The model get quite good result after 30 epochs: : Accuracy is 80% for training dataset and just 67% for validation dataset. It means the model is overfit for training set.

Top Articles
Latest Posts
Article information

Author: Pres. Carey Rath

Last Updated:

Views: 5765

Rating: 4 / 5 (61 voted)

Reviews: 84% of readers found this page helpful

Author information

Name: Pres. Carey Rath

Birthday: 1997-03-06

Address: 14955 Ledner Trail, East Rodrickfort, NE 85127-8369

Phone: +18682428114917

Job: National Technology Representative

Hobby: Sand art, Drama, Web surfing, Cycling, Brazilian jiu-jitsu, Leather crafting, Creative writing

Introduction: My name is Pres. Carey Rath, I am a faithful, funny, vast, joyous, lively, brave, glamorous person who loves writing and wants to share my knowledge and understanding with you.